In this study, the characteristics of wind pressure distribution on circular retractable dome roofs with a low rise-to-span ratio were analyzed under various approaching flow conditions by obtaining and analyzing wind pressures under three different turbulent boundary layers. Compared to the results of previous studies with a rise-to-span ratio of 0.1, it was confirmed that a lower rise-to-span ratio increases the reattachment length of the separated approaching flow, thereby increasing the influence of negative pressure. Additionally, it was found that wind pressures varied significantly according to the characteristics of the turbulence intensity. Based on these experimental results, a model for peak net pressure coefficients for cladding design was proposed, considering variations in turbulence intensity and height.

Background: Using wearable passive back-support exoskeletons in workplace has attracted attention as devices that support the posture of workers, enhance their physical capabilities, and reduce physical risk factors. Objects: This study aimed to investigate the effect of a wearable passive back-support exoskeleton on the activity of the erector spinae muscles during lifting tasks at various heights. Methods: Twenty healthy adult males were selected as subjects. Electromyography (EMG) was used to assess the activity of the erector spinae muscles while performing lifting tasks at three distinct heights (30, 40, and 50 cm), with and without the application of the Wearable Passive Back Support Exoskeleton. EMG data were gathered before and after the application of the orthosis. Results: The use of the Wearable Passive Back Support Exoskeleton resulted in a significant decrease in muscle activity when lifting a 10 kg object from heights of 30 and 40 cm (p < 0.05). Additionally, there was a significant reduction in muscle activity when lifting from a height of 50 cm compared with that at lower heights (p < 0.05). Conclusion: The use of a wearable passive back-support exoskeleton led to a decrease in the activity of the erector spinae muscles during lifting tasks, irrespective of the object's height. Our results suggest that the orthosis we tested may help decrease risk of lower back injuries during lifting.

The thermal integrity of spent nuclear fuels has to be maintained during their long-term dry storage. The detailed temperature distributions of spent fuel assemblies are essential for evaluating the integrity of their dry storage systems. In this study, a subchannel analysis model was developed for a canister of a single fuel assembly using the COBRA-SFS code. The thermal parameters affecting the peak cladding temperature (PCT) of the spent fuel assembly were identified, and sensitivity analyses were performed based on these parameters. The subchannel analysis results indicated the presence of a recirculation flow, based on natural convection, between the fuel assembly and downcomer region. The sensitivity analysis of the thermal parameters indicated that the PCT was affected by the emissivity of the fuel cladding and basket, convective heat transfer coefficient, and thermal conductivity of the fluid. However, the effects of the wall friction factor of the canister, form loss coefficient of the grid spacers, and thermal conductivities of the solid materials, on the PCT were predominantly ignored.

PURPOSES : Most Red bus1) (metropolitan bus) routes to Seoul need to increase supply by increasing the number of buses and number of trips because of the high level of congestion in buses, which also accommodate standing passengers. Due to the recent Itaewon disaster, people have been banned from standing on Red buses due to concerns over the excessive use of public transportation, adding to the inconvenience of passengers, such as increased travel time. However, some routes incur a large deficit owing to excess vehicles and trips relative to the number of passengers, thereby increasing the financial burden of Gyeonggi. Therefore, in this study, a reasonable operation plan is required based on the demand on Red bus routes. METHODS : Using accurate data from smart cards and a Bus Management System, the model was applied to consider bus usage, bus arrival distribution, waiting time, and operating conditions, such as actual bus usage time and bus dispatch interval. RESULTS : As a result of applying the model, buses between 7:00 and 9:00 and 16:00 and 18:00 were very crowded because of standing passengers, and passenger inconvenience costs decreased because of the longer waiting times for bus stops in Seoul. Currently, there are 15 buses in operation for the red bus G8110. However, considering the annual transportation cost, transportation income, and support fund limit, up to 12 buses can be operated per day. The G8110 route was analyzed at 23.6 million won for passenger discomfort cost, as 15 buses operated 97 times per day on weekdays. However, when establishing optimal scheduling, 12 buses per day operated 75 times per day, with a 19.7 million won passenger discomfort cost. CONCLUSIONS : As all red buses run from the starting point, passengers at the bus stop wait for more than an hour before entering Seoul, and the passenger discomfort cost of using demand-responsive chartered buses decreases only when commuting from Jeongja Station and Namdaemun Tax Office stops. Currently, many people commuting from Gyeonggi-do to Seoul are experiencing significant inconvenience owing to the ban on standing in Red buses; a suitable level of input can be suggested for the input and expansion of chartered buses.

Natural uranium-contaminated soil in Korea Atomic Energy Research Institute (KAERI) was generated by decommissioning of the natural uranium conversion facility in 2010. Some of the contaminated soil was expected to be clearance level, however the disposal cost burden is increasing because it is not classified in advance. In this study, pre-classification method is presented according to the ratio of naturally occurring radioactive material (NORM) and contaminated uranium in the soil. To verify the validity of the method, the verification of the uranium radioactivity concentration estimation method through γ-ray analysis results corrected by self-absorption using MCNP6.2, and the validity of the pre-classification method according to the net peak area ratio were evaluated. Estimating concentration for 238U and 235U with γ-ray analysis using HPGe (GC3018) and MCNP6.2 was verified by 􀟙-spectrometry. The analysis results of different methods were within the deviation range. Clearance screening factors (CSFs) were derived through MCNP6.2, and net peak area ratio were calculated at 295.21 keV, 351.92 keV(214Pb), 609.31 keV, 1120.28 keV, 1764.49 keV(214Bi) of to the 92.59 keV. CSFs for contaminated soil and natural soil were compared with U/Pb ratio. CSFs and radioactivity concentrations were measured, and the deviation from the 60 minute measurement results was compared in natural soil. Pre-classification is possible using by CSFs measured for more than 5 minutes to the average concentration of 214Pb or 214Bi in contaminated soil. In this study, the pre-classification method of clearance determination in contaminated soil was evaluated, and it was relatively accurate in a shorter measurement time than the method using the concentrations. This method is expected to be used as a simple pre-classification method through additional research.

Gwaebultaeng is a cultural property of painting, a large Buddhist painting used for special ceremonies in Buddhism. It is stored in an indoor temple environment, and there is a greater risk of contamination and damage due to environmental factors compared to other cultural properties. In 2021, the treasure Hanging Painting of Anguksa Temple and storage chest stored in Geungnakjeon Hall of Anguksa Temple in Muju-gun, Jeollabuk-do were investigated. As a result, one genus and three species fungi, one species bacteria were found on the surface of the painting. In addition, five genera and 11 species fungi, eight genera and 12 species bacteria were confirmed on the surface of the storage chest. Among them, the same three species of Aspergillus genus were identified in both Gwaebultaeng and the storage chest. These results suggest the possibility of introduction and spread from airborne fungi in the indoor air outside the chest. Among the identified microorganisms, one genus and two species fungi in Gwaebultaeng and three genera and four species fungi, four genera and five species bacteria were identified as those that could cause damage to the storage chest. In addition, it was confirmed that one species fungus in Gwaebultaeng and one genus and two species fungi could cause harm to the human body. The results of this study will serve as a basis for careful discussion and management regarding the storage of cultural properties in the future.

국내에서는 ‘태양광 발전 사업‘을 지원하여 태양광 발전소를 늘려나가고 있다. 태양광 발전기는 옥외에 있어 바람에 직접적 으로 노출되어있기 때문에 태풍과 같은 강풍에 큰 영향을 받게 된다. 최근 태풍의 강도와 빈도가 증가하면서 이에 따른 피해가 증가하 고 있다. 태양광 발전기는 유지 관리 및 보수 작업의 용이성 때문에 동서방향으로 배치한 태양광 어레이들 좌우 사이에 이격거리를 두 고 설치된다. 따라서 본 연구에서는 동서방향 이격거리를 변수로 특정하여 태양광 어레이에 작용하는 풍압분포와 피크순압력계수를 산출하였다. 이를 위해 이격거리를 0.3m, 0.5m, 1.0m로 선정하여 풍압실험을 진행하였다. 모든 변수에서 어레이의 양측 상부 모서리에 서는 상방향, 하부 모서리에서는 하방향의 피크순압력계수가 지배적이었다. 어레이 내단부에서는 상방향과 하방향의 피크순압력계수 가 이격거리 0.3m일 때 가장 크게 나왔으나, 외단부보다 전체적으로는 값이 작았다. 어레이 좌우 이격거리에 대한 내단부에서의 수속 효과보다 외단부에서 생긴 와로 인한 피크순압력계수가 크게 나타났기 때문에 외단부에 대한 안전성을 더 고려해야 할 것으로 판단된다.

This study analyzes the influence of the social and cultural background of Art Nouveau on the costumes, architecture, and crafts in the period drama ‘Crimson Peak’. This research method captures images of women’s costumes, architecture, and crafts in the ‘Crimson Peak’ and selects and analyzes those with a clear Art Nouveau influence. Edith’s costumes are characterized by the Art Nouveau style that emerged in the 1890s, with an hourglass silhouette, pastel colors, soft materials, and organic curved embellishments. Lucille’s costumes show characteristics that were prevalent before the 1890s, using bustles, strong colors, and elaborate ornamentation. The architecture is characterized by gothic vertical lines and organic curves, naturalistic patterns featuring animals and plants, and steel and glass materials. The crafts of ‘Crimson Peak’ are characterized by flexible shapes with strong, organic curves. These costumes, architecture, and crafts share formal elements including waving, twisting, and organic curves and plant-shaped motifs. The influence of social and cultural background of the age of Art Nouveau expressed in movies on formative arts was examined as impressionism appeared in costumes made of pastel colors, thin and see-through materials, medieval Gothic historicism expressed in structures composed of vertical design and religious relief ornament, exoticism appeared in Chinese vase and Japanese-patterned tea sets, naturalism with an animal plant motif and phenomenon of active social activities of progressive women through women’s clothing that elements of men’s costume are introduced. This study will provide data for the production of period dramas set at the end of the 19th century.

선박과 교각이 충돌하면 생명과 안전에 큰 위협이 될 수 있다. 따라서 선박-교각 충돌력 영향 인자를 식별하고 다양한 충돌 조 건에서의 충돌력에 대한 연구의 필요성이 있다. 본 논문에서는 선박-교각 충돌의 유한요소 모델을 설정하고, 수치 시뮬레이션을 통해 선 적상태, 운항속도, 충돌 각도의 세 가지 입력조건을 조합하여 50가지 케이스에서의 선박-교각 최대 충돌력을 계산하였다. 계산된 유한요 소해석 결과를 사용하여 신경망 추정 모델을 학습하고 최대 충돌력을 추정함으로써 빠른 시간에 최대 충돌력을 추정하는 프로세스를 제 안하였다. 신경망 예측 모델은 가장 기초적인 역전파 신경망과 시간정보를 고려할 수 있는 순환신경망인 Elman 신경망 2가지 모델을 사 용하였다. 10가지 케이스의 테스트 데이터로 시험한 결과 Elman 신경망을 사용했을 경우에 평균상대오차가 4.566%로 역전파 신경망보다 나은 최대 충돌력 추정이 가능함을 확인하였고 8가지 케이스에서 5%이하의 상대오차를 보여 주었다. 본 신경망을 이용한 최대 충돌력 추 정법은 유한요소해석을 수행하지 않아도 되므로 계산 시간이 짧아 선박 항해 중 충돌을 회피할 수 없는 경우 피해를 최소화하는 의사결 정의 기초 방법으로 사용할 수 있다.

PURPOSES : The purpose of this study is to identify the dynamic behavior of a cement concrete paving machine (paver) by measuring its response using accelerometers. This is because the dynamic behavior of pavers affects the quality of data from various applications of IoT sensors, such as laser, ultrasonic, optical sensors and so on. Therefore, it is believed that the understanding of dynamic behaviors can contribute to the effective use of various IoT sensors for the acquisition of real-time quality control data in pavement construction. METHODS : Dynamic signals are obtained using accelerometer sensors to identify the dynamic characteristics of paving machines. The main parameters for acquiring dynamic signals are the status of the machine’s operating or standby conditions, and available locations for attaching various IoT sensors. Time domain data are logged at a particular sampling speed using a low-pass filter, subsequently, they are converted to digital data, which are analyzed on three rectangular axes. In addition frequency analysis is conducted on the measured data for identifying the peak frequencies, via FFT (Fast-Fourier-Transform) using MATLAB. RESULTS : The magnitude of the x-directional vibration is higher than that of any other direction under the paver’s operating or standby condition. However, signals from the smoother beam show that the z-directional vibration is more significant in the operating status. It means that the primary vibration depends on the location. Furthermore, the peak frequencies are quite various depending on the status of a paver and its sensing location. CONCLUSIONS : The magnitude of machine vibration and peak frequencies at each status or location are identified from time- and frequency-domain data. When using IoT sensors for quality control or monitoring pavements in construction, the dynamic characteristics of a paver should be considered to mitigate the interference of signals from the paver body or its elements.

There are several methods of peak-shaving, which reduces grid power demand, electricity bought from electricity utility, through lowering “demand spike” during On-Peak period. An optimization method using linear programming is proposed, which can be used to perform peak-shaving of grid power demand for grid-connected PV+ system. Proposed peak shaving method is based on the forecast data for electricity load and photovoltaic power generation. Results from proposed method are compared with those from On-Off and Real Time methods which do not need forecast data. The results also compared to those from ideal case, an optimization method which use measured data for forecast data, that is, error-free forecast data. To see the effects of forecast error 36 error scenarios are developed, which consider error types of forecast, nMAE (normalizes Mean Absolute Error) for photovoltaic power forecast and MAPE (Mean Absolute Percentage Error) for load demand forecast. And the effects of forecast error are investigated including critical error scenarios which provide worse results compared to those of other scenarios. It is shown that proposed peak shaving method are much better than On-Off and Real Time methods under almost all the scenario of forecast error. And it is also shown that the results from our method are not so bad compared to the ideal case using error-free forecast.

This study investigates the wind pressure characteristics of elliptical plan retractable dome roof. Wind tunnel experiments were performed on spherical dome roofs with varying wall height-span ratios (0.1~0.5) and opening ratios (0%, 10%, 30% and 50%), similar to previous studies of cirular dome roofs. In previous study, wind pressure coefficients for open dome roofs have been proposed since there are no wind load criteria for open roofs. However, in the case of Eeliptical plan retractable dome roof, the wind pressure coefficient may be largely different due to the presence of the longitudinal direction and transverse direction. The analysis results leads to the exceeding of maximum and minimum wind pressure coefficients KBC2016 code.